A real-time road-safety system that watches a driver's eyes through a webcam and sounds an alarm at signs of fatigue, using OpenCV for face and eye detection and a CNN classifier.
Drowsiness Detection System is an innovative application aimed at enhancing road safety by detecting driver fatigue in real-time. Using OpenCV for image processing and deep learning techniques, this project monitors the driver’s eye movements and triggers an alarm when signs of drowsiness are detected. Below is an overview of the project and its key features, providing insight into its functionality and the technologies used. Project Overview This Python-based project focuses on detecting driver drowsiness to prevent accidents. The system uses a combination of computer vision techniques and…
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